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extBatchMarking  

Extended Batch Marking Models
View on CRAN: Click here


Download and install extBatchMarking package within the R console
Install from CRAN:
install.packages("extBatchMarking")

Install from Github:
library("remotes")
install_github("cran/extBatchMarking")

Install by package version:
library("remotes")
install_version("extBatchMarking", "1.1.0")



Attach the package and use:
library("extBatchMarking")
Maintained by
Kehinde Olobatuyi
[Scholar Profile | Author Map]
First Published: 2023-12-17
Latest Update: 2024-01-10
Description:
A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) .
How to cite:
Kehinde Olobatuyi (2023). extBatchMarking: Extended Batch Marking Models. R package version 1.1.0, https://cran.r-project.org/web/packages/extBatchMarking. Accessed 03 May. 2025.
Previous versions and publish date:
1.0.1 (2024-01-10 11:23), 1.0 (2023-12-17 09:00)
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View extBatchMarking citation profile
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Complete documentation for extBatchMarking
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